ML Software Engineer, Data Plane
Amazon Web Services (AWS)
Join the MLIL DataPlane team to design and implement software for efficient model execution and data management on custom hardware.
Last checked on September 12, 2026. We may earn a commission when you click through.
ML Software Engineer, Data Plane
Amazon Web Services (AWS)
Updated 22 hours agoYou'll be redirected to linkedin.com
This position is ideal for experienced software engineers seeking to work on technologies in AI. However, the expectations for rapid adaptation and low-level coding may deter less experienced candidates.
About this role
Join the MLIL DataPlane team to design and implement software for efficient model execution and data management on custom hardware.
About the Company
Amazon Web Services (AWS) is a leading cloud services provider, offering a wide range of infrastructure solutions.
Key Highlights
- ✓ Work on large distributed models at frontier scale.
- ✓ Develop high-performance compute kernels and integration solutions.
- ✓ Focus on low-level coding for custom hardware.
- ✓ Drive models from validation to production.
💡 Honest Take: The role demands a high level of expertise in low-level programming and may involve steep learning curves with evolving tech. While the opportunity is exciting, be prepared for fast-paced changes and potential challenges in adapting to new hardware.
Pros
- ✓ Opportunity to work with cutting-edge AI technology.
- ✓ Involvement in significant projects from start to finish.
- ✓ Strong career growth potential within AWS.
Cons
- ✗ High-pressure environment with rapid tech changes.
- ✗ Requires extensive knowledge of low-level programming.
- ✗ Limited salary transparency.
Best For: Tech-savvy professionals with a solid background in software engineering and a passion for machine learning.
Watch Out: The role may require extensive overtime to meet project deadlines, impacting work-life balance.
You'll be redirected to linkedin.com
What Customers Say
Employees highlight the innovative projects and technology but note the demanding work environment and fast-paced nature of the job.
Expert Review
This position on the MLIL DataPlane team is geared towards those who thrive in a fast-paced tech environment. With responsibilities spanning model execution, memory management, and data integration, you'll need a strong foundation in C/C++ and knowledge of parallel computing. The emphasis on low-level coding for custom hardware can be both challenging and rewarding.
While the opportunity to work on large-scale models is enticing, the pressure to rapidly adapt to new technologies may be overwhelming for some. It's essential to be comfortable with the complexities of distributed systems and high-performance computing. the lack of disclosed salary information leaves potential applicants in the dark about compensation expectations.
Overall, if you are an experienced engineer ready to innovate in the AI space, this role could be a great fit. Just be prepared for a demanding environment and the possibility of long hours as you tackle the latest challenges in machine learning. Learn more about this opportunity on AWS's official LinkedIn page.
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